What the Agentic Era Means for Data Science
# Introduction Something has shifted at the intersection of AI and data science, and it’s changed how practitioners work. The systems deployed today don’t just generate a response and
Read More# Introduction Something has shifted at the intersection of AI and data science, and it’s changed how practitioners work. The systems deployed today don’t just generate a response and
Read MoreIn this article, you will learn how to implement a context pruning pipeline for long-running AI agents, enabling them to manage conversational memory efficiently through semantic similarity. Topics we
Read MoreFor centuries, the scientific method has been the greatest engine of human progress. At Google, our mission is deeply rooted in building tools to accelerate it. We believe that
Read MoreAutomation is becoming a bigger part of how financial markets are approached, and forex trading is one area where this is becoming easier to notice. As the tech world
Read More# Introduction For a long time, running transformer models meant maintaining a Python server, paying for GPU time, and routing every inference request through an API. The user typed
Read MoreLast year, Nano Banana brought Gemini’s intelligence to image generation and editing. Since then, it’s helped millions of people restore old photos, design from sketches and visualize ideas in
Read MoreGoogle Pay is overhauling its payment infrastructure for an impending wave of transactions from AI agents. The latest updates introduce the Universal Commerce Protocol and a new server architecture,
Read More# Introduction Pandas is one of the most popular Python libraries for data analysis. It gives you simple tools for cleaning, reshaping, summarizing, and exploring structured data. One of
Read MoreStreet View: ground your worlds in real places When creating imaginative worlds in Project Genie, you can now also base them on real places. Just tap the Maps pin
Read MoreEvery major economy is staring at the same problem right now. Artificial intelligence is consuming electricity at a pace that grids were never designed to handle. In the US,
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